scholarly journals Transmission Effectiveness of Resource Allocation Efficiency in Multitier Capital Market System

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xiaoyuan Geng
Keyword(s):  
Resource Allocation ◽  
Capital Market ◽  
Market Research ◽  
Transmission Mechanism ◽  
Analysis Model ◽  
Allocation Efficiency ◽  
Pareto Analysis ◽  
Theoretical Significance ◽  
Resource Allocation Efficiency ◽  
Operation Status

With the continuous development of the capital market, in order to study the effectiveness of the multilevel capital market, the operation status of the multilevel capital market is used as the research object, and the Pareto analysis paradigm is used to study the effectiveness of the transmission mechanism of the resources allocation efficiency of the multilevel capital market. Research has shown that Pareto analysis model can be used to analyze the multilevel capital markets. Investors’ irrationality and lack of professionalism further aggravate market volatility. Research on resource allocation of multilevel capital market systems and the effectiveness of the transmission mechanism has certain theoretical significance and practical value.

Impact of capital enrichment on resource allocation efficiency in China’s manufacturing industry

2021 ◽  
pp. 1-17
Author(s):  
Lina Ma ◽  
Fengju Xu ◽  
Lihua Wang ◽  
Akther Taslima
Keyword(s):  
Resource Allocation ◽  
Manufacturing Industry ◽  
Evaluation Model ◽  
Development Trend ◽  
Inhibitory Effect ◽  
Capital Allocation ◽  
Curvilinear Relationship ◽  
Allocation Efficiency ◽  
Capital Allocation Efficiency ◽  
Resource Allocation Efficiency

Capital enrichment (CE) results from capital flows, which reflect the capital distribution among different regions and industries. This paper constructs the evaluation model of resource allocation efficiency from the perspective of capital and innovation resources. It expounds on CE’s theoretical mechanism by using the panel data from 2011 to 2018 for system GMM estimation. It finds that the manufacturing capital allocation efficiency (CAE) and innovation resource allocation efficiency (IRAE) show a volatile development trend. Both static and dynamic panel models show that there is a significant U-shaped curvilinear relationship between CE and CAE, CE and IRAE. CE’s inhibitory effect on CAE and IRAE decreases with the improvement of CE until it exceeds the critical value of 8.27 and 8.93. After that, its impact on CAE and IRAE changes from negative to positive.

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